Zobrazeno 1 - 10
of 53
pro vyhledávání: '"Teja Kattenborn"'
Autor:
Teja Kattenborn, Sebastian Wieneke, David Montero, Miguel D. Mahecha, Ronny Richter, Claudia Guimarães-Steinicke, Christian Wirth, Olga Ferlian, Hannes Feilhauer, Lena Sachsenmaier, Nico Eisenhauer, Benjamin Dechant
Publikováno v:
Communications Earth & Environment, Vol 5, Iss 1, Pp 1-11 (2024)
Abstract Earth observation data is key for monitoring vegetation dynamics across temporal and spatial scales. The most widely used method to estimate vegetation properties from Earth observation data is vegetation indices. However, temporal dynamics
Externí odkaz:
https://doaj.org/article/66f8cfebacc54e2a8c07abdd223dc691
Autor:
Karin Mora, Michael Rzanny, Jana Wäldchen, Hannes Feilhauer, Teja Kattenborn, Guido Kraemer, Patrick Mäder, Daria Svidzinska, Sophie Wolf, Miguel D. Mahecha
Publikováno v:
Methods in Ecology and Evolution, Vol 15, Iss 8, Pp 1422-1437 (2024)
Abstract Phenological shifts across plant species is a powerful indicator to quantify the effects of climate change. Today, mobile applications with automated species identification open new possibilities for phenological monitoring across space and
Externí odkaz:
https://doaj.org/article/7de73b7a772e4e0c9ca08245eb6a1791
Autor:
Felix Schiefer, Sebastian Schmidtlein, Annett Frick, Julian Frey, Randolf Klinke, Katarzyna Zielewska-Büttner, Samuli Junttila, Andreas Uhl, Teja Kattenborn
Publikováno v:
ISPRS Open Journal of Photogrammetry and Remote Sensing, Vol 8, Iss , Pp 100034- (2023)
Increasing tree mortality due to climate change has been observed globally. Remote sensing is a suitable means for detecting tree mortality and has been proven effective for the assessment of abrupt and large-scale stand-replacing disturbances, such
Externí odkaz:
https://doaj.org/article/6448752c9366472eb60a0159feea79f3
Publikováno v:
ISPRS Open Journal of Photogrammetry and Remote Sensing, Vol 6, Iss , Pp 100025- (2022)
Unoccupied aerial vehicles (UAV) with RGB-cameras are affordable and versatile devices for the generation of a series of remote sensing products that can be used for forest inventory tasks, such as creating high-resolution orthomosaics and canopy hei
Externí odkaz:
https://doaj.org/article/83553297178c47c2b4d7603b82139502
Autor:
Christopher Schiller, Sebastian Schmidtlein, Coline Boonman, Alvaro Moreno-Martínez, Teja Kattenborn
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021)
Abstract Plant functional traits (‘traits’) are essential for assessing biodiversity and ecosystem processes, but cumbersome to measure. To facilitate trait measurements, we test if traits can be predicted through visible morphological features b
Externí odkaz:
https://doaj.org/article/107cbdaa3c7241659a83173551fcdcc3
Publikováno v:
PeerJ, Vol 10, p e14219 (2022)
Ecosystem restoration and reforestation often operate at large scales, whereas monitoring practices are usually limited to spatially restricted field measurements that are (i) time- and labour-intensive, and (ii) unable to accurately quantify restora
Externí odkaz:
https://doaj.org/article/2e86d6baae9f47769db32c609d026d7d
Autor:
Teja Kattenborn, Felix Schiefer, Julian Frey, Hannes Feilhauer, Miguel D. Mahecha, Carsten F. Dormann
Publikováno v:
ISPRS Open Journal of Photogrammetry and Remote Sensing, Vol 5, Iss , Pp 100018- (2022)
Deep learning and particularly Convolutional Neural Networks (CNN) in concert with remote sensing are becoming standard analytical tools in the geosciences. A series of studies has presented the seemingly outstanding performance of CNN for predictive
Externí odkaz:
https://doaj.org/article/23b9fa0bb95147349b20e4cdb872469e
Publikováno v:
ISPRS Open Journal of Photogrammetry and Remote Sensing, Vol 5, Iss , Pp 100016- (2022)
Accurate information on the spatial distribution of plant species and communities is in high demand for various fields of application, such as nature conservation, forestry, and agriculture. A series of studies has shown that Convolutional Neural Net
Externí odkaz:
https://doaj.org/article/5695b3c2d28f46c2a8b83662de727d1d
Publikováno v:
Remote Sensing in Ecology and Conservation, Vol 5, Iss 4, Pp 302-317 (2019)
Abstract Plant invasions can result in serious threats for biodiversity and ecosystem functioning. Reliable maps at very‐high spatial resolution are needed to assess invasions dynamics. Field sampling approaches could be replaced by unmanned aerial
Externí odkaz:
https://doaj.org/article/60b776b8c1dc403988893735c54e4033
Autor:
Kenny Helsen, Leonardo Bassi, Hannes Feilhauer, Teja Kattenborn, Hajime Matsushima, Elisa Van Cleemput, Ben Somers, Olivier Honnay
Publikováno v:
Ecological Indicators, Vol 130, Iss , Pp 108111- (2021)
Leaf mass per area (LMA), leaf dry matter content (LDMC) and leaf water content/ equivalent water thickness (EWT) are commonly used functional plant traits in ecology. Whereas spectroscopy has recently proven to be a powerful tool to collect such fun
Externí odkaz:
https://doaj.org/article/6c2476b9508446d4b299f8108e535e68